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Machine Learning Specialization
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Task List
Task 1-1: Welcome to machine learning!
Task 1-2: Introduction to Supervised Learning
Task 2: Linear Regression Techniques
Task 3: Regularization to Avoid Overfitting
Task 4: Logistic Regression for Classification
Task 5-1: TensorFlow implementation
Task 5-2: Gradient Descent Optimization
Task 6-1: Welcome!
Task 6-2: Introduction to Neural Networks
Task 7: Building Neural Networks with TensorFlow
Task 8: Multi-class Classification Techniques
Task 9: Decision Trees and Their Applications
Task 10: Tree Ensembles and XGBoost
Task 11-1: Deciding what to try next
Task 11-2: Clustering Techniques and Anomaly Detection
Task 12-1: Decision tree model
Task 12-2: Collaborative Filtering for Recommender Systems
Task 13: Content-Based Recommender Systems
Task 14: Reinforcement Learning Fundamentals
Task 15: Developing Deep Reinforcement Learning Models
Task 16: Welcome to machine learning
Task 17: sample
Task 18: Welcome to machine learning
